Multi-modal Medical Image Registration Based on Gradient of Mutual Information and Hybrid Genetic Algorithm

Genetic algorithm is easy to fall into premature and Powell algorithm depends on the initial value, according to the characteristics of these two algorithms, in this paper, we combined the two optimization algorithms, the optimal parameter solution which is obtained by genetic algorithm is used as t...

Full description

Saved in:
Bibliographic Details
Published in2010 Third International Symposium on Intelligent Information Technology and Security Informatics pp. 125 - 128
Main Authors Xiaosheng Huang, Fang Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2010
Subjects
Biomedical engineering
Biomedical imaging
Clinical diagnosis
genetic algorithm
Genetic algorithms
Genetic engineering
gradient of mutual information
Image registration
Layout
Medical diagnostic imaging
Mutual information
Powell algorithm
Simulated annealing
Online AccessGet full text
ISBN9781424467303
1424467306
DOI10.1109/IITSI.2010.112

Cover

More Information
Summary:Genetic algorithm is easy to fall into premature and Powell algorithm depends on the initial value, according to the characteristics of these two algorithms, in this paper, we combined the two optimization algorithms, the optimal parameter solution which is obtained by genetic algorithm is used as the initial value in Powell algorithm, and then Powell algorithm is used to obtain global optimization parameter solution. In the process of optimizing, the maximum gradient of mutual information is used for measuring the similarity between the two registered images. The experiment shows that the registration algorithm proposed in this paper can do more effectively and more accurately work than the optimizing algorithm based on mutual information and genetic algorithm. And the registration accuracy could achieve sub-pixel.
ISBN:9781424467303
1424467306
DOI:10.1109/IITSI.2010.112